Scaling lattice QCD beyond 100 GPUs

R. Babich, M. A. Clark, B. Joó, G. Shi, R. C. Brower, S. Gottlieb

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

89 Scopus citations

Abstract

Over the past five years, graphics processing units (GPUs) have had a transformational effect on numerical lattice quantum chromodynamics (LQCD) calculations in nuclear and particle physics. While GPUs have been applied with great success to the post-Monte Carlo "analysis" phase which accounts for a substantial fraction of the workload in a typical LQCD calculation, the initial Monte Carlo "gauge field generation" phase requires capability-level supercomputing, corresponding to O(100) GPUs or more. Such strong scaling has not been previously achieved. In this contribution, we demonstrate that using a multi-dimensional parallelization strategy and a domain-decomposed preconditioner allows us to scale into this regime. We present results for two popular discretizations of the Dirac operator, Wilson-clover and improved staggered, employing up to 256 GPUs on the Edge cluster at Lawrence Livermore National Laboratory.

Original languageEnglish
Title of host publicationProceedings of 2011 SC - International Conference for High Performance Computing, Networking, Storage and Analysis
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC11 - Seattle, WA, United States
Duration: Nov 12 2011Nov 18 2011

Publication series

NameProceedings of 2011 SC - International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference2011 International Conference for High Performance Computing, Networking, Storage and Analysis, SC11
Country/TerritoryUnited States
CitySeattle, WA
Period11/12/1111/18/11

Keywords

  • Domain decomposition
  • GPU
  • Krylov solvers
  • Lattice QCD

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